Call for Papers: KDML 2015

Workshop on Knowledge Discovery, Data Mining and Machine Learning

KDML is a series of workshops that aims to bring the German Machine Learning and Data Mining community together. The KDML Workshop is co-located with the annual LWA 2015 – Learning, Knowledge, Adaptation – conference, which is going to take place in Trier from October 7th to 9th, 2015. We invite submissions on all aspects of data mining, knowledge discovery and machine learning. Besides original research publications, also preliminary results and resubmissions of recently published articles are invited. KDML also explicitly invites student submissions.

Topics of interest include but are not limited to

  • Foundations, algorithms, models, and theory of machine learning and data mining
  • Methods of supervised, semi-supervised and unsupervised learning
  • Multiobjective learning
  • Rule-based learning and pattern mining
  • Network and graph mining
  • Temporal, spatial & spatiotemporal data mining
  • Text mining and mining, mining unstructured and semi-structured data
  • Web mining
  • Distributed data mining
  • Data stream mining
  • Visual analytics
  • Big Data
  • Applications of data mining in all domains including social, web, bioinformatics, and finance
  • Tools for data mining and machine learning


We solicit submissions under two different models:

  1. full papers (peer-reviewed and to be published by LWA, up to 12 pages)
  2. presentations (peer-reviewed and to be published by LWA in a 1-page abstract), e.g., recent publications at top international venues, visionary ideas, work in progress, demonstration systems, industrial challenges, …

Please note, that w.r.t. both models authors will have the opportunity to give a presentation at KDML. For the first model, a full paper will be published in the LWA proceedings. For the second model, an extended abstract (1 page) will be included in the LWA proceedings. Submissions are welcome in English and German. All papers should be formatted according to the Springer LNCS guidelines (see and are to be submitted as PDF files to EasyChair Please select the track Knowledge Discovery, Data Mining and Machine Learning.

All submissions (under both models) will be reviewed by at least two independent reviewers. The conference proceedings will be published as CEUR Workshop Proceedings ( and will be indexed by DBLP. All workshop participants have to register for the LWA 2015 conference.


15.6. – abstract submission deadline
1.7. 15.07. – paper submission deadline
3.8. 17.08. – author notification
11.9. – camera-ready copy
7.-9.10. – workshop

For further information revisit this website, which is going to be permanently updated, or contact the program chairs via e-mail.



Achim Rettinger Karlsruhe Institute of Technology
Alexander Hinneburg Martin-Luther-University Halle-Wittenberg
Alexander Dallmann University of Würzburg
Andreas Hotho University of Würzburg
Ansgar Scherp Leibniz Information Center for Economics (ZBW)
Arthur Zimek Ludwig-Maximillians-Universität München
Christian Bauckhage Fraunhofer IAIS
Daniel Bengs German Institute for International Educational Research (DIPF)
Elena Sapozhnikova University of Konstanz
Eneldo Loza Mencía TU Darmstadt
Erich Schubert Ludwig-Maximilians-Universität München
Ernesto Diaz-Aviles IBM Research
Florian Lemmerich University of Wuerzburg
Frederik Janssen TU Darmstadt
Hannes Mühleisen Centrum Wiskunde & Informatica (CWI)
Johannes Fürnkranz TU Darmstadt
Kristian Kersting TU Dortmund University
Marius Kloft TU Berlin
Martin Atzmueller University of Kassel
Martin Becker University of Würzburg
Marwan Hassani RWTH Aachen University
Matthias Hagen Bauhaus University Weimar
Nico Piatkowski TU Dortmund University
Ralf Krestel Hasso Plattner Institute
Robin Senge University of Marburg
Stephan Günnemann Carnegie Mellon University
Stephan Doerfel University of Kassel
Thomas Niebler University of Wuerzburg
Ulf Leser Humboldt-Universität zu Berlin
Ute Schmid University of Bamberg
Wouter Duivesteijn TU Dortmund